The study considers the development of methods for detecting anomalous network connections based on hybridization of computational intelligence methods. An analysis of approaches to detecting anomalies and abuses in computer networks. In the framework of this analysis, a classification of methods for detecting network attacks is proposed. The main results are reduced to the construction of multi-class models that increase the efficiency of the attack detection system, and can be used to build systems for classifying network parameters during the (...) attack. A model of an artificial immune system based on an evolutionary approach, an algorithm for genetic-competitive learning of the Kohonen network and a method of hierarchical hybridization of binary classifiers with the addition to the detection of anomalous network connections have been developed. The architecture of the network distributed attack detection system has been developed. The architecture of the attack detection system is two-tier: the first level provides the primary analysis of individual packets and network connections using signature analysis, the second level processes the processing of aggregate network data streams using adaptive classifiers. A signature analysis was performed to study network performance based on the Aho-Korasik and Boyer-Moore algorithms and their improved analogues were implemented using OpenMP and CUDA technologies. The architecture is presented and the main points of operation of the network attack generator are shown. A system for generating network attacks has been developed. This system consists of two components: an asynchronous transparent proxy server for TCP sessions and a frontend interface for a network attack generator. The results of the experiments confirmed that the functional and non-functional requirements, as well as the requirements for computing intelligent systems, are met for the developed attack detection system. (shrink)

In the field of cybernetic systems and more specifically in robotics, one of the fundamental objectives is the detection of anomalies in order to minimize loss of time. Following this idea, this paper proposes the implementation of a Hybrid Intelligent System in four steps to impute the missing values, by combining clustering and regression techniques, followed by balancing and classification tasks. This system applies regression models to each one of the clusters built on the instances of data set. Subsequently, (...) a variety of balancing techniques are applied to improve the classifier’s ability to discern whether it is in an error or a normal state. These techniques support to obtain better classification ratios in which a robot is close to error and allow us to bring the behavior back to a normal state. The experimentation is performed using a modern and public data set, which has been extracted from a component-based robotic system, in which different anomalies are induced by software in their components. (shrink)

Organisations that design and deploy artificial intelligence (AI) systems increasingly commit themselves to high-level, ethical principles. However, there still exists a gap between principles and practices in AI ethics. One major obstacle organisations face when attempting to operationalise AI Ethics is the lack of a well-defined material scope. Put differently, the question to which systems and processes AI ethics principles ought to apply remains unanswered. Of course, there exists no universally accepted definition of AI, and different systems (...) pose different ethical challenges. Nevertheless, pragmatic problem-solving demands that things should be sorted so that their grouping will promote successful actions for some specific end. In this article, we review and compare previous attempts to classify AI systems for the purpose of implementing AI governance in practice. We find that attempts to classify AI systems proposed in previous literature use one of three mental models: _the Switch_, i.e., a binary approach according to which systems either are or are not considered AI systems depending on their characteristics; _the Ladder_, i.e., a risk-based approach that classifies systems according to the ethical risks they pose; and _the Matrix_, i.e., a multi-dimensional classification of systems that take various aspects into account, such as context, input data, and decision-model. Each of these models for classifying AI systems comes with its own set of strengths and weaknesses. By conceptualising different ways of classifying AI systems into simple mental models, we hope to provide organisations that design, deploy, or regulate AI systems with the vocabulary needed to demarcate the material scope of their AI governance frameworks. (shrink)

Classifying Madness (Springer, 2005) concerns philosophical problems with the Diagnostic and Statistical Manual of Mental Disorders, more commonly known as the D.S.M. The D.S.M. is published by the American Psychiatric Association and aims to list and describe all mental disorders. The first half of Classifying Madness asks whether the project of constructing a classification of mental disorders that reflects natural distinctions makes sense. Chapters examine the nature of mental illness, and also consider whether mental disorders fall into natural kinds. The (...) second half of the book addresses epistemic worries. Even supposing a natural classification system to be possible in principle, there may be reasons to be suspicious of the categories included in the D.S.M. I examine the extent to which the D.S.M. depends on psychiatric theory, and look at how it has been shaped by social and financial factors. I aim to be critical of the D.S.M. without being antagonistic towards it. Ultimately, however, I am forced to conclude that although the D.S.M. is of immense practical importance, it is unlikely to come to reflect the natural structure of mental disorders. (shrink)

The theory of niche construction adds a second general inheritance system, ecological inheritance, to evolution . Ecological inheritance is the inheritance, via an external environment, of one or more natural selection pressures previously modified by niche-constructing organisms. This addition means descendant organisms inherit genes, and biotically transformed selection pressures in their environments, from their ancestors. The combined inheritance is called niche inheritance. Niche inheritance is used as a basis for classifying the multiple genetic and non-genetic, inheritance systems currently being (...) proposed as possibly significant in evolution . Implications of niche inheritance for the relationship between evolution and development are discussed. (shrink)

In this volume, leading philosophers of psychiatry examine psychiatric classification systems, including the Diagnostic and Statistical Manual of Mental Disorders, asking whether current systems are sufficient for effective diagnosis, treatment, and research. Doing so, they take up the question of whether mental disorders are natural kinds, grounded in something in the outside world. Psychiatric categories based on natural kinds should group phenomena in such a way that they are subject to the same type of causal explanations and respond (...) similarly to the same type of causal interventions. When these categories do not evince such groupings, there is reason to revise existing classifications. The contributors all question current psychiatric classifications systems and the assumptions on which they are based. They differ, however, as to why and to what extent the categories are inadequate and how to address the problem. Topics discussed include taxometric methods for identifying natural kinds, the error and bias inherent in DSM categories, and the complexities involved in classifying such specific mental disorders as "oppositional defiance disorder" and pathological gambling. -/- Contributors George Graham, Nick Haslam, Allan Horwitz, Harold Kincaid, Dominic Murphy, Jeffrey Poland, Nancy Nyquist Potter, Don Ross, Dan Stein, Jacqueline Sullivan, Serife Tekin, Peter Zachar. (shrink)

This article examines the distinction between active matter and active materials, and it offers foundational remarks toward a system of classification for active materials. Active matter is typically identified as matter that exhibits two characteristic features: self-propelling parts, and coherent dynamical activity among the parts. These features are exhibited across a wide range of organic and inorganic materials, and they are jointly sufficient for classifying matter as active. Recently, the term “active materials” has entered scientific use as a complement, supplement, (...) and extension of “active matter.” At the same time, new work in the philosophy of science has considered the problem of how to classify the products of synthetic and laboratory processes, and the extent to which the aims of classifying natural kinds compare and contrasts with the aims of classifying these synthetic kinds. In this article, I apply those considerations to the problems of classifying and characterizing active materials. In doing so, I also argue for a conception of active materials’ coherent dynamical activity as multiscale, rather than emergent, and I discuss how the special non-equilibrium status of active materials factors in to classificatory concerns. (shrink)

The representation and classification of the structure of natural arguments has been one of the most important aspects of Aristotelian and medieval dialectical and rhetorical theories. This traditional approach is represented nowadays in models of argumentation schemes. The purpose of this article is to show how arguments are characterized by a complex combination of two levels of abstraction, namely, semantic relations and types of reasoning, and to provide an effective and comprehensive classification system for this matrix of semantic and quasilogical (...) connections. To this purpose, we propose a dichotomous criterion of classification, transcending both levels of abstraction and representing not what an argument is but how it is understood and interpreted. The schemes are grouped according to an end-means criterion, which is strictly bound to the ontological structure of the conclusion and the premises. On this view, a scheme can be selected according to the intended or reconstructed purpose of an argument and the possible strategies that can be used to achieve it. (shrink)

The representation and classification of the structure of natural arguments has been one of the most important aspects of Aristotelian and medieval dialectical and rhetorical theories. This traditional approach is represented nowadays in models of argumentation schemes. The purpose of this article is to show how arguments are characterized by a complex combination of two levels of abstraction, namely, semantic relations and types of reasoning, and to provide an effective and comprehensive classification system for this matrix of semantic and quasilogical (...) connections. To this purpose, we propose a dichotomous criterion of classification, transcending both levels of abstraction and representing not what an argument is but how it is understood and interpreted. The schemes are grouped according to an end-means criterion, which is strictly bound to the ontological structure of the conclusion and the premises. On this view, a scheme can be selected according to the intended or reconstructed purpose of an argument and the possible strategies that can be used to achieve it. (shrink)

Aristotle, in Chapter 7 of his Categories, classifies habits and dispositions, as well as knowledge, among relatives. However, in Chapter 8 of the Categories, he affirms that habits, including knowledge, and dispositions, including unstable knowledge, are qualities. Thus, habits and dispositions in general, and knowledge in particular, seem to be subject to a ‘dual categorization’. At the end of Chapter 8 of the treatise, the issue of the dual categorization is explicitly raised. How can one and the same thing be (...) a quality and a relative? Aristotle gives two distinct solutions to this problem. Both have been criticized by some modern commentators : these solutions would amount to a rejection of the basic principles of the categorial system and, as such, to a sort of philosophical suicide. However, Aristotle’s early commentators, notably the Greek Neoplatonists and Boethius, made attempts to render both solutions plausible and compatible with the rest of the doctrine. Their attempts are not only of exegetical interest, they also contain some significant philosophical analyses concerning the categories. In what follows, I will present the abovementioned problem of dual categorization in Aristotle and the two solutions offered to it in Categories, 8, 11a20-38. I will then turn to the early reception of this text, and focus on the way the Greek Neoplatonists and Boethius tried to make Aristotle’s solutions more plausible. Throughout, I will try to establish in what sense habits and dispositions in general, and knowledge in particular, are relative. I will conclude with some remarks on the later reception of Categories, 8, 11a20-38 and on the problem of the ontological status of mental acts and states. (shrink)

One of the most significant developments in the area of emotion theory in recent years is the revival of the psychoevolutionary approach to classification. This essay appraises the prospects for such an approach. The first contention is that the supposed advantages of psychoevolutionary classification over functional classification in scientific psychological research is less than presumed , particularly with respect to the utility of the classification , which is the basis of the argument for the superiority of psychoevolutionary classification. The second (...) and central contention is that classification in terms of mechanisms proposed by empirical psychology and neuroscience has better prospects than psychoevolutionary classification with respect to both the utility for psychological research and the ability to carve psychological systems at their joints , that is , to produce natural kind divisions that distinguish emotions from other psychological traits. (shrink)

ABSTRACT This paper investigates influences upon the development of library classification systems in nineteenth-century Britain. Two case studies – Edward Edwards's ‘scheme of classification for a town library’ of 1859 and the Bibliotheca Lindesiana of the earls of Crawford who made a number of significant contributions to the development of library classification over a fifty-year period – are deployed to explore how classification schemes reflected the habituses of their creators and how they were shaped by their socio-economic, epistemological and (...) geographical contexts. The paper also investigates the discourse of classification, examining authors’ claims for the legitimacy, widespread applicability and superiority of their schemes, while revealing how these claims were compromised or modified by practical considerations. The case studies suggest that a modernizing narrative of a transition in the second half of the nineteenth century from an aristocratic, largely rural and amateur paradigm of knowledge formation to a bourgeois, urban and professional model requires significant modification: a more nuanced approach is required, which recognizes the permeability of geographic and social boundaries and the continued relevance of aristocratic libraries as key sites of knowledge formation until the end of the century. (shrink)

This book presents a new classification system for acts of wrongdoing, sanctions imposed on the people who commit those acts, and the aims these sanctions intend to achieve.

It is proposed that happiness be classified as a psychiatric disorder and be included in future editions of the major diagnostic manuals under the new name: major affective disorder, pleasant type. In a review of the relevant literature it is shown that happiness is statistically abnormal, consists of a discrete cluster of symptoms, is associated with a range of cognitive abnormalities, and probably reflects the abnormal functioning of the central nervous system. One possible objection to this proposal remains--that happiness is (...) not negatively valued. However, this objection is dismissed as scientifically irrelevant. (shrink)

Neonatal brain monitoring in the neonatal intensive care units requires a continuous review of the spontaneous cortical activity, i.e., the electroencephalograph background activity. This needs development of bedside methods for an automated assessment of the EEG background activity. In this paper, we present development of the key components of a neonatal EEG background classifier, starting from the visual background scoring to classifier design, and finally to possible bedside visualization of the classifier results. A dataset with 13,200 5-minute (...) EEG epochs from 27 infants with birth asphyxia was used for classifier training after scoring by two independent experts. We tested three classifier designs based on 98 computational features, and their performance was assessed with respect to scoring system, pre- and post-processing of labels and outputs, choice of channels, and visualization in monitor displays. The optimal solution achieved an overall classification accuracy of 97% with a range across subjects of 81–100%. We identified a set of 23 features that make the classifier highly robust to the choice of channels and missing data due to artefact rejection. Our results showed that an automated bedside classifier of EEG background is achievable, and we publish the full classifier algorithm to allow further clinical replication and validation studies. (shrink)

IntroductionThe assessments of the motor symptoms in Parkinson’s disease are usually limited to clinical rating scales, and it depends on the clinician’s experience. This study aims to propose a machine learning technique algorithm using the variables from upper and lower limbs, to classify people with PD from healthy people, using data from a portable low-cost device. And can be used to support the diagnosis and follow-up of patients in developing countries and remote areas.MethodsWe used Kinect®eMotion system to capture the spatiotemporal (...) gait data from 30 patients with PD and 30 healthy age-matched controls in three walking trials. First, a correlation matrix was made using the variables of upper and lower limbs. After this, we applied a backward feature selection model using R and Python to determine the most relevant variables. Three further analyses were done using variables selected from backward feature selection model, movement disorders specialist, and all the variables from the dataset. We ran seven machine learning models for each model. Dataset was divided 80% for algorithm training and 20% for evaluation. Finally, a causal inference model using the DoWhy library was performed on Dataset B due to its accuracy and simplicity.ResultsThe Random Forest model is the most accurate for all three variable Datasets followed by the support vector machine. The CIM shows a relation between leg variables and the arms swing asymmetry and a proportional relationship between ASA and the diagnosis of PD with a robust estimator.ConclusionsMachine learning techniques based on objective measures using portable low-cost devices are useful and accurate to classify patients with Parkinson’s disease. This method can be used to evaluate patients remotely and help clinicians make decisions regarding follow-up and treatment. (shrink)

Closed-loop administration of propofol for the control of hypnosis in anesthesia has evidenced an outperformance when comparing it with manual administration in terms of drug consumption and post-operative recovery of patients. Unlike other systems, the success of this strategy lies on the availability of a feedback variable capable of quantifying the current hypnotic state of the patient. However, the appearance of anomalies during the anesthetic process may result in inaccurate actions of the automatic controller. These anomalies may come from (...) the monitors, the syringe pumps, the actions of the surgeon or even from alterations in patients. This could produce adverse side effects that can affect the patient postoperative and reduce the safety of the patient in the operating room. Then, the use of anomaly detection techniques plays a significant role to avoid this undesirable situations. This work assesses different one-class intelligent techniques to detect anomalies in patients undergoing general anesthesia. Due to the difficulty of obtaining real data from anomaly situations, artificial outliers are generated to check the performance of each classifier. The final model presents successful performance. (shrink)

The use of batteries became essential in our daily life in electronic devices, electric vehicles and energy storage systems in general terms. As they play a key role in many devices, their design and implementation must follow a thorough test process to check their features at different operating points. In this circumstance, the appearance of any kind of deviation from the expected operation must be detected. This research deals with real data registered during the testing phase of a lithium (...) iron phosphate—LiFePO4—battery. The process is divided into four different working points, alternating charging, discharging and resting periods. This work proposes a hybrid classifier, based on one-class techniques, whose aim is to detect anomalous situations during the battery test. The faults are created by modifying the measured cell temperature a slight ratio from their real value. A detailed analysis of each technique performance is presented. The average performance of the chosen classifier presents successful results. (shrink)

Organisms inherit various kinds of developmental information and cues from their parents. The study of inheritance systems is aimed at identifying and classifying the various mechanisms and processes of heredity, the types of hereditary information that is passed on by each, the functional interaction between the different systems, and the evolutionary consequences of these properties. We present the discussion of inheritance systems in the context of several debates. First, between proponents of monism about heredity (gene-centric views), holism (...) about heredity (Developmental Systems Theory), and those stressing the role of multiple systems of inheritance. Second, between those analyzing inheritance solely in terms of replication and transmission, and views that stress the multi-generation reproduction of phenotypic traits. A third debate is concerned with different criteria that have been proposed for identifying and delimiting inheritance systems. A fourth controversy revolves around the significance of the “Lamarckian” aspects of some of the inheritance systems that have been identified, such as epigenetic inheritance and behavioral inheritance, that allow the transmission of environmentally induced characters (i.e., “soft inheritance”). (shrink)

Trial and error classifiers, corresponding to concepts which change their extensions over time, are introduced and briefly philosophically motivated. A fragment of the language of classical first-order logic is given a new semantics, using \-sequences of classical models, in order to interpret the basic predicates as classifiers of this kind. It turns out that we can use a natural deduction proof system which differs from classical logic only in the conditions for application of existential elimination. Soundness and completeness theorems are (...) proved for this system. (shrink)

In this paper, we provide an analysis about the relationship between expert and pragmatic categories used to name and categorize social space, from the point of view of the social hierarchies that structure it. Taking the case of Chile, and applying an experimental simulation methodology, we seek to contribute to the epistemological debate about the representations that individuals elaborate about social space, from a cognitive and interactionist perspective of everyday life. We analyse in particular the scope of the concept of (...) social class as an element of expert description of social reality, but also as a categorization used by ordinary subjects. We argue that although classifications used by ordinary people to describe members of society are not consistent with the most common academic class schemes, they nevertheless share the same logic and ranking system, adding evaluative and normative elements to the cognitive distinction, in the social construction of reality. En este artículo, presentamos un análisis acerca de la relación entre categorías expertas y categorías pragmáticas usadas para nombrar y categorizar el espacio social, desde el punto de vista de las jerarquías sociales que lo estructuran. Tomando el caso de Chile y aplicando una metodología experimental de simulación, aportamos al debate epistemológico acerca de las representaciones que los sujetos sociales elaboran acerca del espacio social, desde una perspectiva cognitiva e interaccionista situada en la vida cotidiana de las personas. Analizamos en especial el alcance del concepto de clase social en cuanto elemento de descripción experta de la realidad social, contrastándolo con la categorización de la misma de parte de sujetos comunes y corrientes. Postulamos que si bien las clasificaciones que ocupan las personas comunes y corrientes para describir a los integrantes de la sociedad no se condicen con las clasificaciones académicas más comunes, comparten sin embargo las mismas lógicas clasificatorias de jerarquización y ordenamiento, agregándose a la distinción cognitiva elementos normativos que aportan a la construcción social de la realidad. (shrink)

American scientists acceded to the imposition of secrecy in a pragmatic andpatriotic adjustment to the context of the Cold War. Scientists and managersin the national laboratory system accommodated the demands of nationalsecurity within a classified community, composed of a system of secretconferences, publications, and interlocking committees.

Here we defend the view that one ought to categorize and classify at least some mental disorders as clusters of interrelated dysfunctions of (usually, several) cognitive capacities – that is, the kinds of capacities that are postulated in cognitive science; capacities that are understood as entities that are primarily individuated in cognitive-functional terms (CF-systems); systems that have a set of peculiar properties in their manner of operation when processing information or representations. Usually, some of the mental disorders postulated (...) in psychiatry are clinically heterogeneous with respect to their symptoms, and tend to be comorbid – that is, one disorder is often accompanied by other disorders – for example, schizophrenia often comes with major depression. We argue that describing the manner in which CF-systems operate within themselves and with other CF-systems as well as with stimuli and other kinds of information can best explain why certain mental disorders are very heterogeneous with respect to their symptoms, and why comorbidity is so frequent among these disorders. A consequence is that both within-category heterogeneity and comorbodity are not necessarily indications of defective classifications but are rather a consequence of the actual cognitive functional architecture itself and are therefore to be expected in these cases. (shrink)

Due to advances in military technology, there has been an outpouring of research on what are known as autonomous weapon systems (AWS). However, it is common in this literature for arguments to be made without first making clear exactly what definitions one is employing, with the detrimental effect that authors may speak past one another or even miss the targets of their arguments. In this article I examine the U.S. Department of Defense and International Committee of the Red Cross (...) definitions of AWS, showing that these definitions are far broader than some recognize, and that they therefore classify a much larger set of weapons as AWS. I then show that these broader views of AWS have implications for what moral and legal rules we might argue should be applied to such systems. I conclude by arguing there is a greater need for precision and clarity within AWS debates, in order to ensure that researchers are discussing the same weapon systems (autonomous or otherwise) when they argue for or against particular points. The purpose of this article is not to defend any specific view of AWS, nor to further any general endorsement or objection to such systems, but rather to show the importance of argumentative clarity in this debate. (shrink)

This paper is split into two parts. The first half analyzes conflicts of interests’ effects on judgment, the harms these effects threaten, and our current policies and practices for handling conflicts of interest. This analysis relies on scholarship in several fields, most prominently psychology, all of which have reasons to worry about conflicts of interest. This analysis will show that our current classifications of conflicts of interest and our current strategies for handling conflicts of interest are confusing, of dubious benefit, (...) or both. The second half provides some tools for helping us to limit or avoid the harms of conflicts of interest. These simple tools focus on how we think about and classify conflicts of interest. Specifically, I recommend beginning to classify conflicts of interest in a new way: as either severable or systemic. These new classifications are not intended to be heavy conceptual machinery, but simple and valuable tools. These new classifications, even though they are not meant to be exhaustive or comprehensive, help delineate tractable strategies and help determine the distribution of responsibilities for addressing specific conflicts of interest. (shrink)

This book is part of a bibliographic series on the whole of philosophy by the author. Subsequent volumes will be Philosophy: Its Nature, Methods and Basic Sources and Philosophy: Its Histories, Systems and Specific Settings. The present volume aims at providing "selected and classified bibliographies in the fields of ethics, economics, law, politics, and sociology from the point of view of their relevance to philosophy." It contains a chapter on each of these subjects. Each chapter is in turn divided (...) somewhat as follows: general studies, particular periods and countries, special questions, and periodicals. Each subsection is introduced by a very brief description, when this is appropriate. There is a lengthy index of authors whose works are cited. The work is directed toward English-speaking students and so concentrates on studies in English. It is difficult to evaluate an undertaking of this scope, and one is almost inevitably disappointed when he turns to sections dealing with topics of special interest to him. One example will suffice. Those familiar with the sociology of religion will find that the listings under that heading include no works of Peter Berger, Thomas Luckmann or Thomas O'Dea, that of Weber's works on the sociology of religion only The Protestant Ethic and The Spirit of Capitalism is cited, and that none of the journals devoted to religious studies is mentioned among the specialized sociological periodicals. One cannot help but feel that the scope of this work is too ambitious for one man. Perhaps a collaborative effort or a select bibliography of bibliographies would have been a more feasible venture. On the other hand, this bibliography can, as the author intended, supply the student of philosophy with "selected writings which may lead to other treatises," and it may suggest to him "new fields for inquiry or research."--H. F. (shrink)

The use of ensemble learning, deep learning, and effective document representation methods is currently some of the most common trends to improve the overall accuracy of a text classification/categorization system. Ensemble learning is an approach to raise the overall accuracy of a classification system by utilizing multiple classifiers. Deep learning-based methods provide better results in many applications when compared with the other conventional machine learning algorithms. Word embeddings enable representation of words learned from a corpus as vectors that provide a (...) mapping of words with similar meaning to have similar representation. In this study, we use different document representations with the benefit of word embeddings and an ensemble of base classifiers for text classification. The ensemble of base classifiers includes traditional machine learning algorithms such as naïve Bayes, support vector machine, and random forest and a deep learning-based conventional network classifier. We analysed the classification accuracy of different document representations by employing an ensemble of classifiers on eight different datasets. Experimental results demonstrate that the usage of heterogeneous ensembles together with deep learning methods and word embeddings enhances the classification performance of texts. (shrink)

This book is part of a bibliographic series on the whole of philosophy by the author. Subsequent volumes will be Philosophy: Its Nature, Methods and Basic Sources and Philosophy: Its Histories, Systems and Specific Settings. The present volume aims at providing "selected and classified bibliographies in the fields of ethics, economics, law, politics, and sociology from the point of view of their relevance to philosophy." It contains a chapter on each of these subjects. Each chapter is in turn divided (...) somewhat as follows: general studies, particular periods and countries, special questions, and periodicals. Each subsection is introduced by a very brief description, when this is appropriate. There is a lengthy index of authors whose works are cited. The work is directed toward English-speaking students and so concentrates on studies in English. It is difficult to evaluate an undertaking of this scope, and one is almost inevitably disappointed when he turns to sections dealing with topics of special interest to him. One example will suffice. Those familiar with the sociology of religion will find that the listings under that heading include no works of Peter Berger, Thomas Luckmann or Thomas O'Dea, that of Weber's works on the sociology of religion only The Protestant Ethic and The Spirit of Capitalism is cited, and that none of the journals devoted to religious studies is mentioned among the specialized sociological periodicals. One cannot help but feel that the scope of this work is too ambitious for one man. Perhaps a collaborative effort or a select bibliography of bibliographies would have been a more feasible venture. On the other hand, this bibliography can, as the author intended, supply the student of philosophy with "selected writings which may lead to other treatises," and it may suggest to him "new fields for inquiry or research."--H. F. (shrink)

Artificial Immune Systems (AIS) are intelligent algorithms derived on the principles inspired by human immune system. In this research work, electroencephalography (EEG) signals for four distinct motor movement of human limbs are detected and classified using Negative Selection Classification Algorithm (NSCA). For this study, a widely studied open source EEG signal database (BCI IV - Graz dataset 2a, comprising 9 subjects) has been used. Mel Frequency Cepstral Coefficients (MFCCs) are extracted as selected feature from recorded EEG signals. Dimensionality reduction (...) of data is carried out by applying two hidden layered stacked auto-encoder. Genetic Algorithm (GA) optimized detectors (Artificial Lymphocytes) are trained using Negative Selection Algorithm (NSA) for detection and classification of four motor movements. The trained detectors consist of four sets of detectors, each set is trained for detection and classification of one of the four movements from the other three movements. The optimized radius of detector is small enough not to mis-detect the sample. Euclidean distance of each detector with every training dataset sample is taken and compared with optimized radius of detector as a non-self detector. Our proposed approach achieved a mean classification accuracy of 86.39% for limb movements over 9 subjects with a maximum individual subject classification accuracy of 97.5 % for subject number eight. (shrink)

The effective controlling and monitoring of an industrial process through the integration of statistical process control and engineering process control has been widely addressed in recent years. However, because the mixture types of disturbances are often embedded in underlying processes, mixture control chart patterns are very difficult for an SPC-EPC process to identify. This can result in problems when attempting to determine the underlying root causes of process faults. Additionally, a large number of categories of disturbances may be present in (...) a process, but typical single-stage classifiers have difficulty in identifying large numbers of categories of disturbances in an SPC-EPC process. Therefore, we propose a two-stage neural network based scheme to enhance the accurate identification rate for MCCPs by performing dimension reduction on disturbance categories. The two-stage scheme includes a combination of a NN, support vector machine, and multivariate adaptive regression splines. Experimental results reveal that the proposed scheme achieves a satisfactory AIR for identifying MCCPs in an SPC-EPC system. (shrink)

This paper explains the importance of classifying argumentation schemes, and outlines how schemes are being used in current research in artificial intelligence and computational linguistics on argument mining. It provides a survey of the literature on scheme classification. What are so far generally taken to represent a set of the most widely useful defeasible argumentation schemes are surveyed and explained systematically, including some that are difficult to classify. A new classification system covering these centrally important schemes is built.

This paper explains the importance of classifying argumentation schemes, and outlines how schemes are being used in current research in artificial intelligence and computational linguistics on argument mining. It provides a survey of the literature on scheme classification. What are so far generally taken to represent a set of the most widely useful defeasible argumentation schemes are surveyed and explained systematically, including some that are difficult to classify. A new classification system covering these centrally important schemes is built.

The data mining field in computer science specializes in extracting implicit information that is distributed across the stored data records and/or exists as associations among groups of records. Criminal databases contain information on the crimes themselves, the offenders, the victims as well as the vehicles that were involved in the crime. Among these records lie groups of crimes that can be attributed to serial criminals who are responsible for multiple criminal offenses and usually exhibit patterns in their operations, by specializing (...) in a particular crime category (i.e., rape, murder, robbery, etc.), and applying a specific method for implementing their crimes. Discovering serial criminal patterns in crime databases is, in general, a clustering activity in the area of data mining that is concerned with detecting trends in the data by classifying and grouping similar records. In this paper, we report on the different statistical and neural network approaches to the clustering problem in data mining in general, and as it applies to our crime domain in particular. We discuss our approach of using a cascaded network of Kohonen neural networks followed by heuristic processing of the networks outputs that best simulated the experts in the field. We address the issues in this project and the reasoning behind this approach, including: the choice of neural networks, in general, over statistical algorithms as the main tool, and the use of Kohonen networks in particular, the choice for the cascaded approach instead of the direct approach, and the choice of a heuristics subsystem as a back-end subsystem to the neural networks. We also report on the advantages of this approach over both the traditional approach of using a single neural network to accommodate all the attributes, and that of applying a single clustering algorithm on all the data attributes. (shrink)

In some circumstances, children of 5 produce identical classifications to 10 year olds when asked to sort a collection of objects. This has been interpreted as meaning that the process of constructing classifications is very similar at 5 and 10 years. But this conclusion rests on a comparison of the product of children's sortings, rather than on a study of their activity in producing sortings. The present paper argues that the process of classifying is in fact very different for 5 (...) and 10 year olds: whereas the older children treat the whole classification as a single unit composed of interrelated classes, the younger children proceed as though each class were independent of the others. At around 7 years, there is evidence for a transitional phase, in which children directly work on the relations between classes and so organize their initially “juxtaposed” procedures into more coherent systems. The tendency to work on the relations between elements in the process of classifying is not, however, simply an age‐related phenomenon: evidence for a similar effect can be observed in children throughout the age range of 5 to 10 years, during the course of short experimental sessions. Furthermore, the effect is not merely a response to errors or difficulties: the tendency to work on classifying relations can be seen in 5‐year‐old children in a task in which they are already successful. It seems that children spontaneously discover and use information about their procedures and the relations between them. This process is an end in itself. It occurs whether or not its results yield more successful performance. The approach taken in this paper is not confined to one area of behavior. This analysis of children's classifying fits closely with work in a very different domain, i.e. Karmiloff‐Smith's work on children's language and other representational systems. The analysis has implications for computer models of skill acquisition, as well as for psychological theories of development. (shrink)

Disciplinary issues -- Field studies -- Appendix: Theory of law : legal ethnography, or, the theoretical fruits of the inquiries into folkways. /// Reedition of papers in English spanning from 1995 to 2008 /// DISCIPLINARY ISSUES -- LAW AS CULTURE? [2002] 9–14 // TRENDS IN COMPARATIVE LEGAL STUDIES [2002] 15–17 // COMPARATIVE LEGAL CULTURES: ATTEMPTS AT CONCEPTUALISATION [1997] 19–28: 1. Legal Culture in a Cultural-anthropological Approach 19 / 2. Legal Culture in a Sociological Approach 21 / 3. Timely Issues of (...) Central and Eastern Europe 24 // COMPARATIVE LEGAL CULTURES? [2001] 29–48: 1. Legal Comparativism Challenged 29 / 2. Comparative Legal Cultures versus Comparative Law 34 / 3. Contrasting Fields 40 [a) The Historical Understanding of Socialist Law 42 / b) Convergence of Civil Law and Common Law 44] 4. Concluding Remarks 46 // THEATRUM LEGALE MUNDI: ON LEGAL SYSTEMS CLASSIFIED [2005] 49–75: 1. Preliminaries 49 / 2. Proposals 50 / 3. Impossible Taxonomy, or the Moment of Practicality in Legal Mapping 69 / 4. Diversity as a Fundamental Quality of Human Existence 74 // LEGAL TRADITIONS? IN SEARCH FOR FAMILIES AND CULTURES IN LAW [2004] 77–97: 1. Comparative Law and the Comparative Study of Legal Traditions 78 / 2. ‘System’, ‘Family’, ‘Culture’, and ‘Tradition’ in the Classification of Law 80 / 3. Different Traditions, Differing Ways of Thinking 85 / 4. Different Expectations, Differings Institutionalisations in Law 88 / 5. Different “Rationalities”, Differing “Logics” 92 / 6. Mentality in Foundation of the Law 94 / 7. Defining a Subject for Theoretical Research in Law 96 // SOMETHING NEW, SOMETHING OLD IN THE EUROPEAN IDENTITY OF LAW? [1995] 99–102 --- FIELD STUDIES -- MEETING POINTS BETWEEN THE TRADITIONS OF ENGLISH–AMERICAN COMMON LAW AND CONTINENTAL-FRENCH CIVIL LAW: DEVELOPMENTS AND EXPERIENCE OF POSTMODERNITY IN CANADA [2002] 105–130: I. Canadian Law in General 105 / II. Canadian Legal Developments in Particular [1. The Transformation of the Role of Precedents 112 / 2. The Transformation of Law-application into a Collective, Multicultural and Multifactorial Search for a Solution 116 / 3. Practical Trends of Dissolving the Law’s Positivity 120 / 4. New Prerogatives Acquired by Courts 125 {a) Unfolding the Statutory Provisons in Principles 126 / b) Constitutionalisation of Issues 127 / c) The Supreme Court as the Nation’s Supreme Moral Authority 129}] // MAN ELEVATING HIMSELF? DILEMMAS OF RATIONALITY IN OUR AGE [2000] 131–163: I. Reason and its Adventures 1. Progress and Advance Questioned 131 / 2. The Human Search for Safety Objectified 133 / 3. Knowledge Separated from Wisdom 135 / 4. Pure Intellectuality thereby Born 137 / II. The Will-Element Formalised in Law 5. Mere Voluntas in the Foundation of Legal Positivism 141 / 6. Formalism with Operations Fragmented 145 / III. The State of America Exemplified 7. “Slouching into Gomorrah” 147 / IV. Consequences 8. Utopianism-cum-Voluntarism 154 / 9. With Logic in Posterior Control of Human Formulations Only 159 / V. Perspectives 10. And a Final Resolution Dreamed about 161 // RULE OF LAW? MANIA OF LAW? ON THE BOUNDARY BETWEEN RATIONALITY AND ANARCHY IN AMERICA [2002] 165–180: {Transformation of American Law and Legal Mentality 165 / With Repercussions on the Underlying Ethos 168 / Legislation through Processualisation 170 / With Hyperrationalism Added 172 / Example: Finding Lost Property 172 / Practicalness Veiled by Verbal Magic 173 / Ending in Jurispathy 175 / Transubstantiating the Self-interest of the Legal Profession 178 / Post-modernity, Substituting for Primitiveness 178} // TRANSFERS OF LAW: A CONCEPTUAL ANALYSIS [2003] 181–207: 1. Terms 182 / 2. Technicality 190 / 3. Contrasts in Transfers of Law 200 {Contrasts 200 / Criticisms 202 / Alternatives205} 4. Conclusions 206 // THE DANGERS FOR THE SELF OF BEING SELF-CENTRED: ON STANDARDS AND VALUES [2002] 209–212 --- APPENDIX -- THEORY OF LAW – LEGAL ETHNOGRAPHY, OR THE THEORETICAL FRUITS OF THE INQUIRIES INTO FOLKWAYS [2008] 213–234 1. Encounters 213 / 2. Disciplines 218 / 3. The Lawyerly Interest 223 / 4. Law and/or Laws 226 / 5. Conclusion 233 --- Index of Subjects 235 / Index of Normative Materials 242 / Index 244 . (shrink)

A new realist interpretation of quantum mechanics is introduced. Quantum systems are shown to have two kinds of properties: the usual ones described by values of quantum observables, which are called extrinsic, and those that can be attributed to individual quantum systems without violating standard quantum mechanics, which are called intrinsic. The intrinsic properties are classified into structural and conditional. A systematic and self-consistent account is given. Much more statements become meaningful than any version of Copenhagen interpretation would (...) allow. A new approach to classical properties and measurement problem is suggested. A quantum definition of classical states is proposed. (shrink)